38 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" PhD positions at The University of Manchester
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-road vehicles. Optimised thermomechanical ageing process has pushed these alloys to new performance levels, but the quenching and pre-ageing steps, critical to controlling precipitation behavior and
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in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
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with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
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potential to unlock critical savings in the design process. This project will allow this potential to be explored and quantified, making use of University of Manchester's existing world class high fidelity
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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this, empirical rules have been developed. However, a fundamental understanding of the process is still lacking. Furthermore, current standard tests do not adequately capture the phenomena, and thus industry is
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Research theme: Computational magnetism How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible
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motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling
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receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a
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. The relationship between the fabrication process parameters and the microstructure of the alloys will be investigated. The assessment of performance will be based on correlative accelerated laboratory testing and